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Features include easily explore, visualize and transform your data, use feature selection to find variables that matter, apply text mining for insights from comments, use the most popular time series forecasting methods. Provides advanced multiple linear and logistic regression, ensembles of classification and regression trees neural networks for classification and prediction and association rules for recommendation systems.

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Frontline's Analytic Solver Comprehensive is the integrated tool that enables a business analyst to "do it all in Excel," with point-and-click rapid model-building instead of R or Python programming. It includes all the capabilities of Analytic Solver Data Mining for data visualization, data mining and machine learning, text mining, and time series forecasting; all the capabilities of Analytic Solver Simulation for Monte Carlo simulation and risk analysis, decision trees, simulation optimization, stochastic programming and robust optimization; and all the capabilities of Analytic Solver Optimization, by far the leading tool for large-scale conventional optimization in Excel. With point-and-click ease, enterprise-grade power, and deep integration, Analytic Solver Comprehensive is a business analyst's dream come true. Frontline's Analytic Solver Data Mining (formerly XLMiner Platform) offers deep functionality and performance rivaling far more expensive products, in data mining and machine learning, text mining and time series forecasting. It can sample data or import text from sources ranging from Excel's PowerPivot in-memory multidimensional database, to Oracle, DB2 and SQL Server databases, to Apache Spark Big Data clusters. It includes data visualization, feature selection, and transformation tools, clustering and principal components, association rules, exponential smoothing and ARIMA forecasting models, very powerful linear and logistic regression, and ensembles of classification and regression trees and neural networks. Trained models can be used to "score" new data in SQL databases, or to classify or predict in spreadsheet models.

XLminer platform, allows users to perform data analysis in excel. Users can perform various statistical analyses on the data. Users’ do not have to learn the software from the scratch. Users who are already aware of Microsoft excel can make an effective use of the built-in tool. The software is easy to use and understand. The software allow data to be imported from spreadsheets and data can be analyzed in any way users want. Data visualization can be done. Data can be transformed too. Statistical calculations and procedures can be applied on it to get quick results. The software makes analysis an effortless job to do. It delivers results very quickly. The tool can manage large data sets. It enables data and text mining. The software performs predictive analysis too. The tool helps users in applying time series forecasting method. The software performs regression on large data sets. The software can search for important variables. The software can collect data from variety of sources, transform and analyze it. The software provide sample data sets for users. Users can learn to operate the software by looking into these data sets. The software can search for columns that contain most important and detail oriented data. The software can highlight this important data to users performing predictive analysis. The software can make bars, charts of all types, thus assisting in data visualization and enabling a quick view and insight into data. Thus the software makes analysis and data mining an undemanding job by using a built-in tool in an already known software.

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